Numerical assessment of the dynamic behavior of a solar-driven jet-ejector refrigeration system equipped with an adjustable jet-ejector

[EN] In the present paper, the mid-term performance of two different architectures of a solar-driven jet-ejector refrigeration system is numerically compared: the first one is fitted with a fixed-geometry jet-ejector while the second one is equipped with an adjustable spindle that modifies the jet-e...

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Detalles Bibliográficos
Autores: Galindo, José|||0000-0001-6068-182X, Dolz, Vicente|||0000-0003-1511-6957, Tiseira, Andrés-Omar|||0000-0001-9472-2386, Ponce-Mora, Alberto
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/182603
Acceso en línea:https://riunet.upv.es/handle/10251/182603
Access Level:acceso abierto
Palabra clave:Solar refrigeration
Jet-ejector refrigeration
Environmentally friendly refrigerants
Energy efficiency
Adjustable jet-ejector
Dynamic behavior
MAQUINAS Y MOTORES TERMICOS
INGENIERIA AEROESPACIAL
Descripción
Sumario:[EN] In the present paper, the mid-term performance of two different architectures of a solar-driven jet-ejector refrigeration system is numerically compared: the first one is fitted with a fixed-geometry jet-ejector while the second one is equipped with an adjustable spindle that modifies the jet-ejector area ratio. The jet-ejector behavior has been predicted with a validated computational fluid dynamics approach and the dynamic response of the overall system accounts for transient effects in a small parabolic trough collector and a hot thermal storage tank. The investigation shows that the adjustable jet-ejector allows for continuous and smooth operation in a much wider range of outdoor conditions. Additionally, it enables more efficient management of the thermal level in the hot storage system. As a result, the adjustable refrigeration system improves the performance indicators in all the warm months of the typical meteorological year under evaluation. The maximum improvement potential is found in May; the fixed-geometry system provides an average COPth of 0.34 while the adjustable system reaches an average COPth of 0.48 considering the same boundary conditions in both cases. (c) 2020 Elsevier Ltd and IIR. All rights reserved.